Data Scientist II (Soccer)

Description

We're hiring a Data Scientist II on our Soccer team to develop the statistical and machine learning models our partner clubs use for player recruitment. I'm Jacob Mortensen, Senior Manager, Data Science at Teamworks. Our team primarily focuses on building models using both player tracking data and event data to identify undervalued players and characterize the skills that make them effective. The work supports high-stakes recruitment decisions for professional clubs across global football.

The team is managing growing demand from partner clubs alongside model maintenance and new development. This hire will take ownership across the model lifecycle, from design and validation through deployment and improvement. That added capacity will help us move important initiatives forward while keeping our existing models accurate and reliable.

Responsibilities

• Develop statistical and machine learning models that help professional soccer clubs identify undervalued players and strong recruitment targets
• Use player tracking data to build spatio-temporal models that quantify player impact and skill
• Build metrics and analyses that soccer teams rely on to make decisions, and support client-facing work by building tools to support model interpretation and understanding
• Validate models and outputs — your own and others’ — with enough rigor that the team can trust what ships
• Write clear reports that communicate technical work to clients
• Partner with our engineering team to deploy models on cloud infrastructure and turn strong analytical work into reliable production systems
• Review code from other data scientists, share constructive feedback, and contribute ideas that advance the team's work
• What I'm Looking For
• What You Must Bring
• 3+ years of professional or research experience writing code in R or Python for data science, statistics, or machine learning work
• Comfort with SQL for building and querying structured data
• Strong data science fundamentals: you understand how models work, what they need from the data, and how to set data up to support them
• Experience working with sports tracking data, including understanding the kinds of models typically built and the data challenges that come with them
• Strong communication skills — you'll be explaining modeling decisions directly to partner clubs, not just internal teammates
• Even Better If
• You have direct experience with soccer data or soccer analytics (inside a team, public work, or academically)
• You have a demonstrated track record of tackling hard problems through published research, blog posts, conference talks, or public projects
• Experience using a cloud compute provider (e.g. AWS or Google Cloud) to train and deploy models
• Comfort using AI coding tools, paired with the judgment to recognize when their output needs to be questioned or corrected
• Why This Role
• Soccer analytics is moving quickly, and this team is helping shape how advanced modeling is used in recruitment. You'll have meaningful ownership, room to develop new approaches, and the opportunity to see your work used by professional clubs. You'll also help define how the team builds, maintains, and scales its model portfolio as demand grows.
• This role is not eligible for sponsorship at this time.
• Please submit your application through this posting only. We're unable to review applications or resumes sent via email, LinkedIn, or other direct channels.
• About Teamworks
• We're the Operating System for Sports, powering 7,000+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 600+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win.